Despite tremendous recent interest, the application of deep learning in microbiology has still
not reached its full potential. To tackle the challenges faced by human-operated microscopy …

Abstract The role of Artificial Intelligence and Machine Learning in cancer research offers
several advantages, primarily scaling up the information processing and increasing the …

Deep Learning (DL) algorithms are a set of techniques that exploit large and/or complex real-
world datasets for cross-domain and cross-discipline prediction and classification tasks. DL …

Histopathological diagnosis of lymphomas represents a challenge requiring either expertise
or centralised review, and greatly depends on the technical process of tissue sections …

The digital information age has been a catalyst in creating a renewed interest in Artificial
Intelligence (AI) approaches, especially the subclass of computer algorithms that are …

Abstract Intelligent Transportation Systems (ITS) help improve the ever‐increasing vehicular
flow and traffic efficiency in urban traffic to reduce the number of accidents. The generation …

Background AI in healthcare has been recognized by both academia and industry in
revolutionizing how healthcare services will be offered by healthcare service providers and …

Transcriptomics, which encompasses assessments of alternative splicing and alternative
polyadenylation, identification of fusion transcripts, explorations of noncoding RNAs …

Anomalies in time series, also called “discord,” are the abnormal subsequences. The
occurrence of anomalies in time series may indicate that some faults or disease will occur …

Several factors, including advances in computational algorithms, the availability of high-
performance computing hardware, and the assembly of large community-based databases …